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whisper-large-v2-Irish

This model is a fine-tuned version of kpriyanshu256/whisper-large-v2-br-1000-32-1e-05 on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:

  • Loss: 1.2167
  • Wer: 42.3635

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 1e-05
  • train_batch_size: 4
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 50
  • training_steps: 800

Training results

Training Loss Epoch Step Validation Loss Wer
0.4381 3.0 100 0.9324 47.2416
0.0465 6.01 200 1.0565 45.6156
0.0169 9.02 300 1.0763 43.2636
0.0063 12.02 400 1.1362 44.0476
0.0024 15.03 500 1.1534 42.7410
0.0011 18.03 600 1.1959 42.3926
0.0009 21.04 700 1.2123 42.1893
0.0008 24.04 800 1.2167 42.3635

Framework versions

  • Transformers 4.26.0.dev0
  • Pytorch 1.13.0+cu117
  • Datasets 2.7.1.dev0
  • Tokenizers 0.13.2
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Dataset used to train kpriyanshu256/whisper-large-v2-ga-IE-800-32-1e-05-pretrain-br

Evaluation results